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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6809
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    INDEX
    Explanations

    mention of various professions or occupations

    oai_token-act-pair · gpt-3.5-turbo

    occupations and their descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anqu
    -0.90
    imar
    -0.72
    adas
    -0.71
     TAMADRA
    -0.70
    chu
    -0.69
    atable
    -0.69
    ylum
    -0.69
    aepernick
    -0.67
    isSpecialOrderable
    -0.67
    ittens
    -0.67
    POSITIVE LOGITS
     accountant
    1.42
     mathematician
    1.39
     engineer
    1.36
     psychologist
    1.36
     biologist
    1.34
     chemist
    1.31
     technician
    1.29
     lingu
    1.29
     scientist
    1.25
     strategist
    1.25
    Activations Density 0.741%

    No Known Activations